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Provably Efficient Generative Adversarial Imitation Learning for Online
  and Offline Setting with Linear Function Approximation

Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation

19 August 2021
Zhihan Liu
Yufeng Zhang
Zuyue Fu
Zhuoran Yang
Zhaoran Wang
    OffRL
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Papers citing "Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation"

3 / 3 papers shown
Title
Near-optimal Offline Reinforcement Learning with Linear Representation:
  Leveraging Variance Information with Pessimism
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
Ming Yin
Yaqi Duan
Mengdi Wang
Yu-Xiang Wang
OffRL
32
65
0
11 Mar 2022
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
219
413
0
16 Feb 2021
Provably Efficient Reinforcement Learning with Linear Function
  Approximation Under Adaptivity Constraints
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints
Chi Jin
Zhuoran Yang
Zhaoran Wang
OffRL
120
166
0
06 Jan 2021
1